{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "# windows解决中文乱码\n",
    "# plt.rcParams['font.sans-serif']=['SimHei'] #用来正常显示中文标签\n",
    "\n",
    "# mac解决中文乱码\n",
    "plt.rcParams['font.sans-serif'] = ['Arial Unicode MS'] \n",
    "\n",
    "plt.rcParams['axes.unicode_minus']=False #用来正常显示负号"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 读取MapReduce、Hive分析计算后的结果数据\n",
    "weibo_user_gender_percent_df = pd.read_csv(\"../data/MapReduceRes/weibo_user_gender_percent\",names=['性别','人数'],sep='\\t')\n",
    "post_per_hour_cnt_df = pd.read_csv(\"../data/HiveRes/post_per_hour_cnt\",names=['时间','数量'],sep='\\t')\n",
    "source_post_cnt_top10_df = pd.read_csv(\"../data/HiveRes/source_post_cnt_top10\",names=['来源','数量'],sep='\\t')\n",
    "top10_sources_repost_cnt_top3_df = pd.read_csv(\"../data/HiveRes/top10_sources_repost_cnt_top3\",names=['来源','数量','排名'],sep='\\t')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>性别</th>\n",
       "      <th>人数</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>女</td>\n",
       "      <td>410</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>男</td>\n",
       "      <td>76</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  性别   人数\n",
       "0  女  410\n",
       "1  男   76"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 微博用户数\n",
    "weibo_user_gender_percent_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.title(\"微博用户性别占比\")\n",
    "plt.pie(weibo_user_gender_percent_df['人数'],labels=weibo_user_gender_percent_df['性别'],autopct='%1.0f%%')\n",
    "plt.legend(weibo_user_gender_percent_df['性别'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>时间</th>\n",
       "      <th>数量</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2021-11-01 16</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2021-11-02 14</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2021-11-02 15</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2021-11-02 16</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2021-11-02 17</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2021-11-02 18</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2021-11-02 20</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2021-11-02 21</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2021-11-02 22</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2021-11-02 23</td>\n",
       "      <td>194</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              时间   数量\n",
       "0  2021-11-01 16    1\n",
       "1  2021-11-02 14    1\n",
       "2  2021-11-02 15    1\n",
       "3  2021-11-02 16    4\n",
       "4  2021-11-02 17    1\n",
       "5  2021-11-02 18    1\n",
       "6  2021-11-02 20    1\n",
       "7  2021-11-02 21    1\n",
       "8  2021-11-02 22    6\n",
       "9  2021-11-02 23  194"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 各时间点微博发布数量\n",
    "post_per_hour_cnt_df.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.title(\"各时间点微博发布数量\")\n",
    "plt.xlabel('时间') # 设置横轴标签\n",
    "plt.ylabel('微博发布数量') # 设置纵轴标签\n",
    "plt.ylim(0,1500) # 设置y轴范围\n",
    "plt.xticks(rotation=60)\n",
    "plt.ylim([0,200])\n",
    "plt.plot(post_per_hour_cnt_df['时间'],post_per_hour_cnt_df['数量'],'y')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>来源</th>\n",
       "      <th>数量</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>iPhone客户端</td>\n",
       "      <td>123</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>未知来源</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>微博视频号</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>HUAWEI P30</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>微博 weibo.com</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>HarmonyOS设备</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Android</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>双十一助力超话</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>HUAWEI Mate 40 Pro</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>iPhone 11</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   来源   数量\n",
       "0           iPhone客户端  123\n",
       "1                未知来源   29\n",
       "2               微博视频号   13\n",
       "3          HUAWEI P30    8\n",
       "4        微博 weibo.com    8\n",
       "5         HarmonyOS设备    7\n",
       "6             Android    7\n",
       "7             双十一助力超话    6\n",
       "8  HUAWEI Mate 40 Pro    6\n",
       "9           iPhone 11    5"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 各来源微博发布数量前10\n",
    "source_post_cnt_top10_df.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,6))\n",
    "plt.title(\"微博用户性别占比\")\n",
    "plt.pie(source_post_cnt_top10_df['数量'],labels=source_post_cnt_top10_df['来源'],autopct='%1.0f%%')\n",
    "plt.legend(source_post_cnt_top10_df['来源'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>来源</th>\n",
       "      <th>数量</th>\n",
       "      <th>排名</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>HUAWEI P30</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>HUAWEI P30</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>HUAWEI P30</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>iPhone客户端</td>\n",
       "      <td>172</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>iPhone客户端</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>iPhone客户端</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>微博 weibo.com</td>\n",
       "      <td>26</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>微博 weibo.com</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>微博 weibo.com</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>微博视频号</td>\n",
       "      <td>1008</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             来源    数量  排名\n",
       "0    HUAWEI P30     3   1\n",
       "1    HUAWEI P30     0   2\n",
       "2    HUAWEI P30     0   3\n",
       "3     iPhone客户端   172   1\n",
       "4     iPhone客户端     0   2\n",
       "5     iPhone客户端     0   3\n",
       "6  微博 weibo.com    26   1\n",
       "7  微博 weibo.com     6   2\n",
       "8  微博 weibo.com     3   3\n",
       "9         微博视频号  1008   1"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 微博发布数量前5的来源中 各来源微博转发量top3\n",
    "top10_sources_repost_cnt_top3_df.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0 1 2 3 4]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "rk1 = top10_sources_repost_cnt_top3_df[top10_sources_repost_cnt_top3_df['排名']==1]\n",
    "rk2 = top10_sources_repost_cnt_top3_df[top10_sources_repost_cnt_top3_df['排名']==2]\n",
    "rk3 = top10_sources_repost_cnt_top3_df[top10_sources_repost_cnt_top3_df['排名']==3]\n",
    "\n",
    "index = np.arange(len(rk1))\n",
    "print(index)\n",
    "\n",
    "plt.figure(figsize=(15,7))\n",
    "plt.title('微博发布数量前5的来源中 各来源微博转发量top3')\n",
    "plt.ylim([0,9]) # xi\n",
    "plt.bar(index,rk1['数量'],width = 0.2,color = 'gray',edgecolor = 'white')\n",
    "plt.bar(index+0.2,rk2['数量'],width = 0.2,color = 'yellow',edgecolor = 'white')\n",
    "plt.bar(index+0.4,rk3['数量'],width = 0.2,color = 'blue',edgecolor = 'white')\n",
    "plt.xticks(index,rk1['来源'])\n",
    "plt.legend(['排名1','排名2','排名3'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
